AI customization is finally reach

AI shifts from promise to practice when customization becomes routine. That is a positive sign. When technical teams work with data as it is, measure progress with discipline, and focus on workflows ...
NextBigFuture

AI Legend Sutton Wrote the Bitter Lesson- Gives His Suggestions for True Continual Learning

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to ...
IEEE

Reinforcement Learning Enhanced LQR and Control Lyapunov Functions for Spacecraft Proximity Operations

Abstract: Spacecraft autonomy is a major barrier to increasing the scope, ambition, and affordability of both Earth-based and deep-space missions. Reinforcement learning (RL) offers huge potential in ...

Tencent’s new AI technique teaches language models ‘parallel thinking’

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...
IEEE

Reinforcement Learning Solutions to Stochastic Multi-Agent Graphical Games With Multiplicative Noise

Abstract: This paper investigates reinforcement learning algorithms for discrete-time stochastic multi-agent graphical games with multiplicative noise. The Bellman optimality equation for stochastic ...